Geometric Construction of Video Stereo Grid Space
The construction of digital twin cities is a current research hotspot. Video data are one of the important aspects of digital twin cities, and their digital modeling is one of the important foundations of its construction. For this reason, the construction and digital analysis of video data space ha...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-05-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/10/2356 |
| _version_ | 1797495973814992896 |
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| author | Huangchuang Zhang Ruoping Shi Ge Li |
| author_facet | Huangchuang Zhang Ruoping Shi Ge Li |
| author_sort | Huangchuang Zhang |
| collection | DOAJ |
| description | The construction of digital twin cities is a current research hotspot. Video data are one of the important aspects of digital twin cities, and their digital modeling is one of the important foundations of its construction. For this reason, the construction and digital analysis of video data space has become an urgent problem to be solved. After in-depth research, this study found that the existing video space construction methods have three shortcomings: first, the problem of high requirements for objective conditions or low accuracy; second, the lack of easy and efficient mapping algorithms from 2D video pixel coordinates to 3D; and third, the lack of efficient correlation mechanisms between video space and external geographic information, making it difficult to integrate video space with external information, and thus prevent a more effective analysis. In view of the above problems, this paper proposes a video stereo grid geometric space construction method based on GeoSOT-3D stereo grid coding and a camera imaging model to form a video stereo grid space model. Finally, targeted experiments of video stereo grid space geometry construction were conducted to analyze the experimental results before and after optimization and compare the variance size to verify the feasibility and effectiveness of the model. |
| first_indexed | 2024-03-10T01:57:05Z |
| format | Article |
| id | doaj.art-a5e32953f59c484599b294075624ec76 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T01:57:05Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-a5e32953f59c484599b294075624ec762023-11-23T12:54:49ZengMDPI AGRemote Sensing2072-42922022-05-011410235610.3390/rs14102356Geometric Construction of Video Stereo Grid SpaceHuangchuang Zhang0Ruoping Shi1Ge Li2School of Electronic and Computer Engineering, Peking University, Shenzhen 518055, ChinaAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, ChinaSchool of Electronic and Computer Engineering, Peking University, Shenzhen 518055, ChinaThe construction of digital twin cities is a current research hotspot. Video data are one of the important aspects of digital twin cities, and their digital modeling is one of the important foundations of its construction. For this reason, the construction and digital analysis of video data space has become an urgent problem to be solved. After in-depth research, this study found that the existing video space construction methods have three shortcomings: first, the problem of high requirements for objective conditions or low accuracy; second, the lack of easy and efficient mapping algorithms from 2D video pixel coordinates to 3D; and third, the lack of efficient correlation mechanisms between video space and external geographic information, making it difficult to integrate video space with external information, and thus prevent a more effective analysis. In view of the above problems, this paper proposes a video stereo grid geometric space construction method based on GeoSOT-3D stereo grid coding and a camera imaging model to form a video stereo grid space model. Finally, targeted experiments of video stereo grid space geometry construction were conducted to analyze the experimental results before and after optimization and compare the variance size to verify the feasibility and effectiveness of the model.https://www.mdpi.com/2072-4292/14/10/2356digital twinsvideo stereo gridgrid space constructionGeoSOT-3D |
| spellingShingle | Huangchuang Zhang Ruoping Shi Ge Li Geometric Construction of Video Stereo Grid Space Remote Sensing digital twins video stereo grid grid space construction GeoSOT-3D |
| title | Geometric Construction of Video Stereo Grid Space |
| title_full | Geometric Construction of Video Stereo Grid Space |
| title_fullStr | Geometric Construction of Video Stereo Grid Space |
| title_full_unstemmed | Geometric Construction of Video Stereo Grid Space |
| title_short | Geometric Construction of Video Stereo Grid Space |
| title_sort | geometric construction of video stereo grid space |
| topic | digital twins video stereo grid grid space construction GeoSOT-3D |
| url | https://www.mdpi.com/2072-4292/14/10/2356 |
| work_keys_str_mv | AT huangchuangzhang geometricconstructionofvideostereogridspace AT ruopingshi geometricconstructionofvideostereogridspace AT geli geometricconstructionofvideostereogridspace |